You can see from the GitHub history for "toPandas()" that the function has been in the code for 5 years. https://github.com/apache/spark/blame/a075cd5b700f88ef447b559c6411518136558d78/python/pyspark/sql/dataframe.py#L923
When I google IllegalArgumentException: 'Unsupported class file major version 55' I see posts about the Java version being used. Are you sure your configs are right? https://stackoverflow.com/questions/53583199/pyspark-error-unsupported-class-file-major-version On Sat, Jun 20, 2020 at 6:17 AM Anwar AliKhan <anwaralikhan...@gmail.com> wrote: > > Two versions of Spark running against same code > > > https://towardsdatascience.com/your-first-apache-spark-ml-model-d2bb82b599dd > > version spark-2.4.6-bin-hadoop2.7 is producing error for toPandas(). See > error stack below > > Jupyter Notebook > > import findspark > > findspark.init('/home/spark-3.0.0-bin-hadoop2.7') > > cell "spark" > > cell output > > SparkSession - in-memory > > SparkContext > > Spark UI > > Version > > v3.0.0 > > Master > > local[*] > > AppName > > Titanic Data > > > import findspark > > findspark.init('/home/spark-2.4.6-bin-hadoop2.7') > > cell "spark" > > > > cell output > > SparkSession - in-memory > > SparkContext > > Spark UI > > Version > > v2.4.6 > > Master > > local[*] > > AppName > > Titanic Data > > cell "df.show(5)" > > > +-----------+--------+------+--------------------+------+---+-----+-----+----------------+-------+-----+--------+ > > |PassengerId|Survived|Pclass| Name| Sex|Age|SibSp|Parch| > Ticket| Fare|Cabin|Embarked| > > > +-----------+--------+------+--------------------+------+---+-----+-----+----------------+-------+-----+--------+ > > | 1| 0| 3|Braund, Mr. Owen ...| male| 22| 1| 0| > A/5 21171| 7.25| null| S| > > | 2| 1| 1|Cumings, Mrs. Joh...|female| 38| 1| 0| > PC 17599|71.2833| C85| C| > > | 3| 1| 3|Heikkinen, Miss. ...|female| 26| 0| > 0|STON/O2. 3101282| 7.925| null| S| > > | 4| 1| 1|Futrelle, Mrs. Ja...|female| 35| 1| 0| > 113803| 53.1| C123| S| > > | 5| 0| 3|Allen, Mr. Willia...| male| 35| 0| 0| > 373450| 8.05| null| S| > > > +-----------+--------+------+--------------------+------+---+-----+-----+----------------+-------+-----+--------+ > > only showing top 5 rows > > cell "df.toPandas()" > > cell output > > --------------------------------------------------------------------------- > > Py4JJavaError Traceback (most recent call last) > > /home/spark-2.4.6-bin-hadoop2.7/python/pyspark/sql/utils.py in deco(*a, > **kw) > > 62 try: > > ---> 63 return f(*a, **kw) > > 64 except py4j.protocol.Py4JJavaError as e: > > /home/spark-2.4.6-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py > in get_return_value(answer, gateway_client, target_id, name) > > 327 "An error occurred while calling {0}{1}{2}.\n". > > --> 328 format(target_id, ".", name), value) > > 329 else: > > Py4JJavaError: An error occurred while calling o33.collectToPython. > > : java.lang.IllegalArgumentException: Unsupported class file major version > 55 > > at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:166) > > at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:148) > > at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:136) > > at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:237) > > at > org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:50) > > at > org.apache.spark.util.FieldAccessFinder$$anon$4$$anonfun$visitMethodInsn$7.apply(ClosureCleaner.scala:845) > > at > org.apache.spark.util.FieldAccessFinder$$anon$4$$anonfun$visitMethodInsn$7.apply(ClosureCleaner.scala:828) > > at > scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733) > > at > scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:134) > > at > scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:134) > > at > scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:236) > > at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40) > > at scala.collection.mutable.HashMap$$anon$1.foreach(HashMap.scala:134) > > at > scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732) > > at > org.apache.spark.util.FieldAccessFinder$$anon$4.visitMethodInsn(ClosureCleaner.scala:828) > > at org.apache.xbean.asm6.ClassReader.readCode(ClassReader.java:2175) > > at org.apache.xbean.asm6.ClassReader.readMethod(ClassReader.java:1238) > > at org.apache.xbean.asm6.ClassReader.accept(ClassReader.java:631) > > at org.apache.xbean.asm6.ClassReader.accept(ClassReader.java:355) > > at > org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:272) > > at > org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:271) > > at scala.collection.immutable.List.foreach(List.scala:392) > > at > org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:271) > > at > org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:163) > > at org.apache.spark.SparkContext.clean(SparkContext.scala:2326) > > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2100) > > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2126) > > at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:990) > > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) > > at org.apache.spark.rdd.RDD.withScope(RDD.scala:385) > > at org.apache.spark.rdd.RDD.collect(RDD.scala:989) > > at > org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:299) > > at > org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:3263) > > at > org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:3260) > > at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370) > > at > org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80) > > at > org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127) > > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75) > > at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3369) > > at org.apache.spark.sql.Dataset.collectToPython(Dataset.scala:3260) > > at > java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native > Method) > > at > java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > > at > java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > > at java.base/java.lang.reflect.Method.invoke(Method.java:566) > > at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) > > at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) > > at py4j.Gateway.invoke(Gateway.java:282) > > at > py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) > > at py4j.commands.CallCommand.execute(CallCommand.java:79) > > at py4j.GatewayConnection.run(GatewayConnection.java:238) > > at java.base/java.lang.Thread.run(Thread.java:834) > > > During handling of the above exception, another exception occurred: > > IllegalArgumentException Traceback (most recent call last) > > <ipython-input-10-a516097529d7> in <module> > > ----> 1 df.toPandas() > > /home/spark-2.4.6-bin-hadoop2.7/python/pyspark/sql/dataframe.py in > toPandas(self) > > 2153 > > 2154 # Below is toPandas without Arrow optimization. > > -> 2155 pdf = pd.DataFrame.from_records(self.collect(), > columns=self.columns) > > 2156 column_counter = Counter(self.columns) > > 2157 > > /home/spark-2.4.6-bin-hadoop2.7/python/pyspark/sql/dataframe.py in > collect(self) > > 533 """ > > 534 with SCCallSiteSync(self._sc) as css: > > --> 535 sock_info = self._jdf.collectToPython() > > 536 return list(_load_from_socket(sock_info, > BatchedSerializer(PickleSerializer()))) > > 537 > > /home/spark-2.4.6-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py > in __call__(self, *args) > > 1255 answer = self.gateway_client.send_command(command) > > 1256 return_value = get_return_value( > > -> 1257 answer, self.gateway_client, self.target_id, self.name > ) > > 1258 > > 1259 for temp_arg in temp_args: > > /home/spark-2.4.6-bin-hadoop2.7/python/pyspark/sql/utils.py in deco(*a, > **kw) > > 77 raise QueryExecutionException(s.split(': ', 1)[1], > stackTrace) > > 78 if s.startswith('java.lang.IllegalArgumentException: > '): > > ---> 79 raise IllegalArgumentException(s.split(': ', > 1)[1], stackTrace) > > 80 raise > > 81 return deco > > IllegalArgumentException: 'Unsupported class file major version 55' > > > On Fri, 19 Jun 2020, 08:06 Stephen Boesch, <java...@gmail.com> wrote: > >> afaik It has been there since Spark 2.0 in 2015. Not certain about >> Spark 1.5/1.6 >> >> On Thu, 18 Jun 2020 at 23:56, Anwar AliKhan <anwaralikhan...@gmail.com> >> wrote: >> >>> I first ran the command >>> df.show() >>> >>> For sanity check of my dataFrame. >>> >>> I wasn't impressed with the display. >>> >>> I then ran >>> df.toPandas() in Jupiter Notebook. >>> >>> Now the display is really good looking . >>> >>> Is toPandas() a new function which became available in Spark 3.0 ? >>> >>> >>> >>> >>> >>> -- I appreciate your time, ~Randy
